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Gayatri Referral & Growth System

Transparent Intern Referral Attribution & Commission Management Platform

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System overview

Architecture & Core Mechanics

Built to power organic community growth for Gayatri Education cohorts, this referral system provides every verified intern with a unique referral link. Attribution is tracked via 30-day HTTP-only cookies with last-click resolution. Admins review student applications and verify bank payment proofs before commissions are queued for disbursement.

Engineering Highlights & Capabilities

  • ✓
    Roster-Gated Authentication: Candidate signups are cross-referenced with approved cohort rosters before granting referral privileges.
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    30-Day Cookie Attribution: Tracks referral links with last-click attribution resolution and HTTP-only cookie persistence.
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    Dual-Gate Accounting Verification: Separates applicant approval from payment screenshot verification for rigorous compliance.
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    Real-Time Intern Dashboard: Gives referrers transparent visibility into pending vs approved referrals and commission disbursement.
Quality assurance

Verification & Test Telemetry

● 11 build phases complete · Fraud-resistant attribution · Real-time earnings

Stack components

Technology Blueprint

Flask
SQLAlchemy
Flask-Login
SQLite
Open source

Repository Access

Access source code, architectural test harnesses, and documentation under the Gayatri-Education organization.

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Interested in deploying or contributing?

Our products are deployed across universities and enterprise pilots. Get in touch with our engineering team.

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